MP16-07 A NEW PREDICTOR FOR CALCIUM OXALATE STONES: IMPACT OF LINEAR CALCULUS DENSITY ON NON-CONTRAST COMPUTED TOMOGRAPHY

Abstract

You have accessJournal of UrologyCME1 Apr 2023MP16-07 A NEW PREDICTOR FOR CALCIUM OXALATE STONES: IMPACT OF LINEAR CALCULUS DENSITY ON NON-CONTRAST COMPUTED TOMOGRAPHY Dae Young Jeon, Yoo Sub Shin, Jae Yong Jeong, Daeho Kim, Young Joon Moon, Dong Hyuk Kang, Won Sik Jeong, Hae Do Jung, Kang Su Cho, Young Deuk Choi, and Joo Yong Lee Dae Young JeonDae Young Jeon More articles by this author , Yoo Sub ShinYoo Sub Shin More articles by this author , Jae Yong JeongJae Yong Jeong More articles by this author , Daeho KimDaeho Kim More articles by this author , Young Joon MoonYoung Joon Moon More articles by this author , Dong Hyuk KangDong Hyuk Kang More articles by this author , Won Sik JeongWon Sik Jeong More articles by this author , Hae Do JungHae Do Jung More articles by this author , Kang Su ChoKang Su Cho More articles by this author , Young Deuk ChoiYoung Deuk Choi More articles by this author , and Joo Yong LeeJoo Yong Lee More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003236.07AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Non-contrast computed tomography (NCCT) is widely used to evaluate urinary stones. The CT attenuation, measured in Hounsfield units (HU), has been evaluated to predict stone characteristics. We proposed a novel predictor, linear calculus density (LCD), and analyzed variables from NCCT imaging to help diagnose calcium oxalate (CaOx) stones, which are common and challenging to fragment. METHODS: We retrospectively reviewed medical records of patients who had stone-related procedures or whose stone spontaneously passed between Dec 2014 and Feb 2017. Among those, 790 patients were included in the study. Based on the pre-treatment NCCT, the maximal stone length (MSL), mean stone density (MSD), and stone heterogeneity index (SHI) were obtained. In addition, the variation coefficient of stone density (VCSD=SHI/MSD×100) and linear calculus density (LCD= VCSD/MSL) were calculated. In accordance with the stone analysis, the patients were divided into two groups (CaOx and non-CaOx groups). The logistic regression model and ROC curve were used to develop a useful predictive model. This study was approved by the Ethical Committee. RESULTS: The number of patients with CaOx group was 335 and that of patients with non-CaOx group was 455. The mean MSL of CaOx group was shorter (9.8±7.0 vs. 19.5±61.8, p=0.001). In CaOx group, SHI, VCSD and LDS was higher than in non-CaOx group (all p<0.001) (Table 1). SHI (OR 1.002, 95% CI 1.001–1.004, p<0.001), VCSD (OR 1.028, 95% CI 1.016–1.041, p<0.001), and LCD (OR 1.352, 95% CI 1.270–1.444, p<0.001) were significant independent factors for CaOx stones in the logistic regression models. The areas under the ROC curve for predicting CaOx stones were 0.586 for SHI, 0.66 for VCSD, and 0.739 for LCD, with a cut-point of 2.25 (Figure 1). CONCLUSIONS: The LCD can be a useful new parameter to provide additional information to help discriminate CaOx stone before treatment. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e204 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Dae Young Jeon More articles by this author Yoo Sub Shin More articles by this author Jae Yong Jeong More articles by this author Daeho Kim More articles by this author Young Joon Moon More articles by this author Dong Hyuk Kang More articles by this author Won Sik Jeong More articles by this author Hae Do Jung More articles by this author Kang Su Cho More articles by this author Young Deuk Choi More articles by this author Joo Yong Lee More articles by this author Expand All Advertisement PDF downloadLoading ...